Triple
T32315078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hubble Ultra Deep Field |
E825607
|
entity |
| Predicate | imageProcessing |
P173960
|
FINISHED |
| Object | stacking of multiple long exposures |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: stacking of multiple long exposures | Statement: [Hubble Ultra Deep Field, imageProcessing, stacking of multiple long exposures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageProcessing Context triple: [Hubble Ultra Deep Field, imageProcessing, stacking of multiple long exposures]
-
A.
imageProcessor
Indicates a relationship where an entity performs operations to analyze, transform, or manipulate images.
-
B.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
C.
imageEncoding
Indicates that one entity is a digital representation or encoding of the visual content of another entity (such as an image or scene).
-
D.
imageRepresentation
Indicates that one entity serves as a visual depiction or graphical representation of another entity.
-
E.
imageQuality
Indicates the assessed level or degree of visual clarity, detail, and overall fidelity of an image.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bdba43648190900f1020d6f7861d |
completed | May 3, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:46 a.m.